Xiaonan Liu

Xiaonan Liu is a Lecturer (Assistant Professor) in the Department of Computer Science at the University of Aberdeen, affiliated with the School of Natural and Computing Sciences. Their research lies at the intersection of artificial intelligence, machine learning, and communication systems, with a strong focus on Edge AI and federated learning frameworks.

Their primary research interests include:

• Integrated Sensing, Communication, and Computation
• Edge AI and machine learning
• Multimodal learning
• Federated Learning
• Task-oriented Communications

Dr. Liu is actively accepting PhD students in Computing Science, Artificial Intelligence, and Engineering, encouraging prospective candidates to reach out with research proposals.

Dr. Liu's scholarly work centers on advancing intelligent systems that integrate sensing, computation, and communication at the network edge. Their research trends reflect a strong emphasis on distributed AI, privacy-preserving machine learning, and efficient resource utilization in next-generation networks. This is aligned with emerging domains such as 6G communications and IoT-driven AI applications.

There are no scientific awards mentioned in the provided text.

Dr. Liu advises PhD students in areas related to AI, computing science, and engineering, and is open to new supervisees. While specific grants are not listed, their research scope suggests involvement in projects related to Edge AI, distributed systems, and intelligent communications. Teaching responsibilities include undergraduate and postgraduate courses such as JC2503 Web Application Development and JC4001 Distributed Systems.

There is no explicit mention of labs or research teams, but their research specialisms suggest potential involvement in AI, communications, and distributed computing research groups within the School of Natural and Computing Sciences.